Single and multi-objective genetic operators in object-oriented conceptual software design

GECCO 2006 - Genetic and Evolutionary Computation Conference

Volumn 2, Issue , 2006, Pages 1957-1958

  Simons, C L ^a   Parmee, I C ^a  

^a UNIVERSITY OF THE WEST OF ENGLAND   (United Kingdom)

Author keywords

Evolutionary algorithms; Object oriented design; Search

Indexed keywords

EVOLUTIONARY ALGORITHMS; FUNCTIONS; MATHEMATICAL OPERATORS; OBJECT ORIENTED PROGRAMMING; SOFTWARE ENGINEERING;

MULTI-OBJECTIVE GENETIC OPERATORS; OBJECT-ORIENTED DESIGN; SEARCH; SOFTWARE DESIGN;

GENETIC ALGORITHMS;

EID: 33750236179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144324     Document Type: Conference Paper

References (6)

1. Parmee, I. C. Evolutionary and adaptive computing in - engineering design. Springer-Verlag, 2001.
2. Simons, C. L., Parmee, I. C. Defining the search space for conceptual software designs. Technical Report TR011105. Available online: http://www.cems.uwe.ac.uk/~clsimons
3. Harrison, R., Councell, S., Nithi, R., An investigation into the applicability and validity of object-oriented design metrics. Emp. Softw. Eng., 3, 3 (Sep. 1998), 255-273.
4. Briand, L. C., Daly, J. W., and Wust, J. K. A unified framework for coupling measurement in object-oriented systems. IEEE Trans. Softw. Eng., 25, 1 (1999), 91-121.
5. Simons, C. L. Specification of case study. Available online: http://www.cems.uwe.ac.uk/~clsimons/
6. Deb, K. Multi-objective optimization using evolutionary algorithms. John Wiley & Sons, 2001.